News

Mar 18

Student Spotlight: Daniel Diaz

Daniel is a doctoral student working in the Center for Data-Driven Design of Multifunctional Material Systems on research associated with characterizing and predicting rare events in materials systems.

Jan 29

Accelerating materials innovation through AI and data science Opens in new window

By leveraging expertise in materials and artificial intelligence from across departments, researchers from Carnegie Mellon are exploring solutions to the challenges facing materials discovery.

Nov 17

Student and Collaborator Updates

Read about the recent news and announcements from our project team.

More news from Data-driven Material Design

The Center for Data Driven Discovery of Multifunctional Material Systems